IDEAS home Printed from https://ideas.repec.org/a/vls/finstu/v23y2019i2p75-96.html
   My bibliography  Save this article

Contagion Pattern Identification Through Minimum Spanning Trees During The Asian Financial Crisis

Author

Listed:
  • MARICA, Vasile-George

    (Faculty of International Business and Economics, Bucharest University of Economic Studies, Bucharest, Romania.)

Abstract

Complexity in financial markets is slowly overwhelming canonical statistical modelling. With global crises which stemming from contagion effects becoming more frequent, new tools for financial distress transmission capture are needed. Graph theory, with its branch on minimum spanning trees can help researchers better represent the numerous multivariate and asynchronous interactions that suddenly manifest during moments of market panic. Under the current research, a novel graphical methodology is employed for the description of the 1997 Asian financial crisis. It is shown that market sentiment can have an interpretable image through the use of correlation based minimum spanning trees, a useful tool for policy makers and risk managers alike. Classification-JEL: C10, C18, C14, C38, C88

Suggested Citation

  • MARICA, Vasile-George, 2019. "Contagion Pattern Identification Through Minimum Spanning Trees During The Asian Financial Crisis," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 23(2), pages 75-96, June.
    • Handle: RePEc:vls:finstu:v:23:y:2019:i:2:p:75-96
    as

    Download full text from publisher

    File URL: http://www.icfm.ro/RePEc/vls/vls_pdf/vol23i2p75-96.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Olson, Dennis & Zoubi, Taisier A., 2011. "Efficiency and bank profitability in MENA countries," Emerging Markets Review, Elsevier, vol. 12(2), pages 94-110, June.
    2. Fumio Hayashi & Edward C. Prescott, 2004. "The 1990s in Japan: a lost decade," Chapters, in: Paolo Onofri (ed.), The Economics of an Ageing Population, chapter 2, Edward Elgar Publishing.
    3. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    4. Helmut Reisen & Marcelo Soto, 2001. "Which Types of Capital Inflows Foster Developing‐Country Growth?," International Finance, Wiley Blackwell, vol. 4(1), pages 1-14.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Jeffrey Frankel, 2015. "The Plaza Accord, 30 Years Later," NBER Working Papers 21813, National Bureau of Economic Research, Inc.
    7. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    8. Athukorala, Prema-chandra & Yamashita, Nobuaki, 2006. "Production fragmentation and trade integration: East Asia in a global context," The North American Journal of Economics and Finance, Elsevier, vol. 17(3), pages 233-256, December.
    9. Guillermo A. Calvo, 1998. "Capital Flows and Capital-Market Crises: The Simple Economics of Sudden Stops," Journal of Applied Economics, Universidad del CEMA, vol. 1, pages 35-54, November.
    10. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    11. Walden Bello, 1999. "The Asian financial crisis: Causes, dynamics, prospects," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 4(1), pages 33-55.
    12. Michael T. Belongia, 1988. "Prospects for international policy coordination: some lessons from the EMS," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 19-29.
    13. G. Bonanno & G. Caldarelli & F. Lillo & S. Micciché & N. Vandewalle & R. Mantegna, 2004. "Networks of equities in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 363-371, March.
    14. Marc-Andre Pigeon, 2000. ""It" Happened, but Not Again: A Minskian Analysis of Japan's Lost Decade," Macroeconomics 0004050, University Library of Munich, Germany.
    15. Raghuram G. Rajan & Luigi Zingales, 1998. "Which Capitalism? Lessons Form The East Asian Crisis," Journal of Applied Corporate Finance, Morgan Stanley, vol. 11(3), pages 40-48, September.
    16. Abell, John D., 1990. "Twin deficits during the 1980s: An empirical investigation," Journal of Macroeconomics, Elsevier, vol. 12(1), pages 81-96.
    17. Redding, Stephen & Venables, Anthony J., 2003. "South-East Asian export performance: external market access and internal supply capacity," Journal of the Japanese and International Economies, Elsevier, vol. 17(4), pages 404-431, December.
    18. Isik, Ihsan & Hassan, M. Kabir, 2002. "Technical, scale and allocative efficiencies of Turkish banking industry," Journal of Banking & Finance, Elsevier, vol. 26(4), pages 719-766, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alqahtani, Faisal & Mayes, David G. & Brown, Kym, 2017. "Islamic bank efficiency compared to conventional banks during the global crisis in the GCC region," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 58-74.
    2. HACINI, Ishaq & DAHOU, Khadra, 2016. "Efficiency Of The Algerian Banks In The Post Liberalization Period," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 20(1), pages 90-106.
    3. Sufian, Fadzlan & Abdul Majid, Muhamed Zulkhibri, 2007. "Consolidation and efficiency: Evidence from non-bank financial institutions in Malaysia," MPRA Paper 12128, University Library of Munich, Germany, revised 01 May 2007.
    4. Fadzlan Sufian & Fakarudin Kamarudin, 2014. "The impact of ownership structure on bank productivity and efficiency: Evidence from semi-parametric Malmquist Productivity Index," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-27, December.
    5. Fadzlan Sufian & Muzafar Shah Habibullah, 2010. "Bank-specific, Industry-specific and Macroeconomic Determinants of Bank Efficiency," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(4), pages 427-461, November.
    6. Bader, Mohammed Khaled I. & Mohamad, Shamsher & Ariff, Mohamed & Hassan, Taufiq, 2008. "Cost, Revenue, And Profit Efficiency Of Islamic Versus Conventional Banks: International Evidence Using Data Envelopment Analysis," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 15, pages 24-76.
    7. Jamal Al-Khasawneh, 2013. "Pairwise X-efficiency combinations of merging banks: analysis of the fifth merger wave," Review of Quantitative Finance and Accounting, Springer, vol. 41(1), pages 1-28, July.
    8. Havrylchyk, Olena, 2004. "Consolidation of the Polish banking sector: consequences for the banking institutions and the public," Economic Systems, Elsevier, vol. 28(2), pages 125-140, June.
    9. Sufian, Fadzlan & Abdul Majid, Muhamed Zulkhibri, 2007. "Bank Ownership, Characteristics and Performance: A Comparative Analysis of Domestic and Foreign Islamic Banks in Malaysia," MPRA Paper 12131, University Library of Munich, Germany, revised 01 Jun 2007.
    10. Hakan Güneş & Dilem Yıldırım, 2016. "Estimating Cost Efficiency of Turkish Commercial Banks under Unobserved Heterogeneity with Stochastic Frontier Models," ERC Working Papers 1603, ERC - Economic Research Center, Middle East Technical University, revised Mar 2016.
    11. Pankaj Dutta & Aayush Jain & Asish Gupta, 2020. "Performance analysis of non-banking finance companies using two-stage data envelopment analysis," Annals of Operations Research, Springer, vol. 295(1), pages 91-116, December.
    12. Yong Tan & Peter Wanke & Jorge Antunes & Ali Emrouznejad, 2021. "Unveiling endogeneity between competition and efficiency in Chinese banks: a two-stage network DEA and regression analysis," Annals of Operations Research, Springer, vol. 306(1), pages 131-171, November.
    13. Havrylchyk, Olena, 2006. "Efficiency of the Polish banking industry: Foreign versus domestic banks," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 1975-1996, July.
    14. Abid Burki & G. S. K. Niazi, 2010. "Impact of financial reforms on efficiency of state-owned, private and foreign banks in Pakistan," Applied Economics, Taylor & Francis Journals, vol. 42(24), pages 3147-3160.
    15. Leonidas Sandoval Junior & Asher Mullokandov & Dror Y. Kenett, 2015. "Dependency Relations among International Stock Market Indices," JRFM, MDPI, vol. 8(2), pages 1-39, May.
    16. Asma Mghaieth & Imen Khanchel El Mehdi, 2014. "The determinants of cost/profit efficiency of Islamic banks before, during and after the crisis of 2007," Working Papers 2014-107, Department of Research, Ipag Business School.
    17. Mohamad Akbar Noor Mohamad Noor & Nor Hayati Bt Ahmad, 2012. "The Determinants of Islamic Banks’ Efficiency Changes: Empirical Evidence from the World Banking Sectors," Global Business Review, International Management Institute, vol. 13(2), pages 179-200, June.
    18. Holod, Dmytro & Lewis, Herbert F., 2011. "Resolving the deposit dilemma: A new DEA bank efficiency model," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2801-2810, November.
    19. Meryem Duygun Fethi & Mohamed Shaban & Thomas Weyman-Jones, 2009. "Liberalisation, privatisation and the productivity of Egyptian banks: a non-parametric approach," The Service Industries Journal, Taylor & Francis Journals, vol. 31(7), pages 1143-1163, September.
    20. Yanhua Chen & Rosario N Mantegna & Athanasios A Pantelous & Konstantin M Zuev, 2018. "A dynamic analysis of S&P 500, FTSE 100 and EURO STOXX 50 indices under different exchange rates," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-40, March.

    More about this item

    Keywords

    correlation matrix; graph theory; minimum spanning tree;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vls:finstu:v:23:y:2019:i:2:p:75-96. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Daniel Mateescu (email available below). General contact details of provider: https://edirc.repec.org/data/cfiarro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.